Optimized computer display rendering for user vision conditions

ABSTRACT

Approaches for optimized computer display rendering for user vision conditions are provided. A computer-implemented method includes: detecting, by a computer device, a user at the computer device; sending, by the computer device, data associated with the user to a server; receiving, by the computer device, settings from the server; and automatically rendering, by the computer device, a display of the computer device using the settings.

BACKGROUND

The present invention relates generally to computer display renderingand, more particularly, to optimized computer display rendering for uservision conditions.

Color blindness, also known as color vision deficiency, is the decreasedability to see color or differences in color. The most common cause ofcolor blindness is a fault in the development of one or more of thethree sets of color sensing cones in the eye. Red-green color blindnessis the most common form, followed by blue-yellow color blindness andtotal color blindness. Red-green color blindness can affect up to 8% ofthe population. Macular degeneration is another medical condition thatcan result in blurred or no vision in the center of the visual field ofthe eye. When working with computer-based charts and graphs in abusiness setting, visual conditions such as color-blindness and maculardegeneration can cause those individuals delays in processing theinformation.

SUMMARY

In a first aspect of the invention, there is a computer-implementedmethod comprising: detecting, by a computer device, a user at thecomputer device; sending, by the computer device, data associated withthe user to a server; receiving, by the computer device, settings fromthe server; and automatically rendering, by the computer device, adisplay of the computer device using the settings.

In another aspect of the invention, there is a computer program productcomprising a computer readable storage medium having programinstructions embodied therewith. the program instructions executable bya server to cause the server to: receive, from a computer device, dataassociated with a user detected at the computer device; determinesettings for the user in response to the receiving the data, wherein thesettings are based on a vision condition of the user; and transmit thesettings to the computer device for rendering a display of the computerdevice using the settings.

In another aspect of the invention, there a computer device comprising:a display, a processor, a computer readable memory, and a computerreadable storage medium; a detection module configured to automaticallydetect a user at the computer device; a settings module configured toautomatically determine settings based on a vision condition of the userand in response to the detecting the user at the computer device; and arendering module configured to automatically render the display usingthe settings and in response to the detecting the user at the computerdevice. The detection module, the settings module, and the renderingmodule comprise program instructions stored on the computer readablestorage medium for execution by the processor via the computer readablememory.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is described in the detailed description whichfollows, in reference to the noted plurality of drawings by way ofnon-limiting examples of exemplary embodiments of the present invention.

FIG. 1 depicts a cloud computing node according to an embodiment of thepresent invention.

FIG. 2 depicts a cloud computing environment according to an embodimentof the present invention.

FIG. 3 depicts abstraction model layers according to an embodiment ofthe present invention.

FIG. 4 shows a block diagram of an exemplary environment in accordancewith aspects of the invention.

FIG. 5 shows a block diagram of another exemplary environment inaccordance with aspects of the invention.

FIG. 6 shows a flowchart of a method in accordance with aspects of theinvention.

FIG. 7 shows a flowchart of another method in accordance with aspects ofthe invention.

DETAILED DESCRIPTION

The present invention relates generally to computer display renderingand, more particularly, to optimized computer display rendering for uservision conditions. Aspects of the invention are directed to learningoptimized display settings for a user based on a vision condition of theuser, and automatically rendering a computer display using the optimizeddisplay settings in response to detecting the user at the computerdisplay. In this manner, implementations of the invention may be used toimprove a user's interaction with a computer device by automaticallyrendering the display of the computer device according to the optimizeddisplay settings for the user.

According to aspects of the invention, a system detects a user that isinteracting with a computer device. The detection can be, for example,via Internet of Things (IoT) sensor, biometric sensor, or physicalrecognition techniques such as facial recognition, retina recognition,etc. Based upon detecting the user, the system obtains information abouta vision condition of the user including, for example and withoutlimitation, color blindness, macular degeneration, etc. The system isconfigured to re-render the display of the computer device based on theinformation about the vision condition of the user. In embodiments, thesystem is configured to learn optimized display settings for the user byanalyzing feedback from the user and re-rendering the display based onthe feedback. The learning may be performed in a structured manner,e.g., via predefined questions that prompt the user feedback.Additionally or alternatively, the learning may be performed in anunstructured manner, e.g., via cognitive analysis of unprompted useractions associated with the display. Respective optimized displaysettings for plural different users may be stored at a central location,such as a cloud service, and can be accessed and applied on demandwhenever any of the plural users is detected at an equipped computerdevice.

The present invention may be a system, a method, and/or a computerprogram product at any possible technical detail level of integration.The computer program product may include a computer readable storagemedium (or media) having computer readable program instructions thereonfor causing a processor to carry out aspects of the present invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, configuration data for integrated circuitry, oreither source code or object code written in any combination of one ormore programming languages, including an object oriented programminglanguage such as Smalltalk, C++, or the like, and procedural programminglanguages, such as the “C” programming language or similar programminglanguages. The computer readable program instructions may executeentirely on the user's computer, partly on the user's computer, as astand-alone software package, partly on the user's computer and partlyon a remote computer or entirely on the remote computer or server. Inthe latter scenario, the remote computer may be connected to the user'scomputer through any type of network, including a local area network(LAN) or a wide area network (WAN), or the connection may be made to anexternal computer (for example, through the Internet using an InternetService Provider). In some embodiments, electronic circuitry including,for example, programmable logic circuitry, field-programmable gatearrays (FPGA), or programmable logic arrays (PLA) may execute thecomputer readable program instructions by utilizing state information ofthe computer readable program instructions to personalize the electroniccircuitry, in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the blocks may occur out of theorder noted in the Figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

It is understood in advance that although this disclosure includes adetailed description on cloud computing, implementation of the teachingsrecited herein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g. networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based e-mail).The consumer does not manage or control the underlying cloudinfrastructure including network, servers, operating systems, storage,or even individual application capabilities, with the possible exceptionof limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure comprising anetwork of interconnected nodes.

Referring now to FIG. 1, a schematic of an example of a cloud computingnode is shown. Cloud computing node 10 is only one example of a suitablecloud computing node and is not intended to suggest any limitation as tothe scope of use or functionality of embodiments of the inventiondescribed herein. Regardless, cloud computing node 10 is capable ofbeing implemented and/or performing any of the functionality set forthhereinabove.

In cloud computing node 10 there is a computer system/server 12, whichis operational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 12 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, hand-held or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 12 may be described in the general context ofcomputer system executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 12 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 1, computer system/server 12 in cloud computing node 10is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 12 may include, but are not limitedto, one or more processors or processing units 16, a system memory 28,and a bus 18 that couples various system components including systemmemory 28 to processor 16.

Bus 18 represents one or more of any of several types of bus structures,including a memory bus or memory controller, a peripheral bus, anaccelerated graphics port, and a processor or local bus using any of avariety of bus architectures. By way of example, and not limitation,such architectures include Industry Standard Architecture (ISA) bus,Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, VideoElectronics Standards Association (VESA) local bus, and PeripheralComponent Interconnects (PCI) bus.

Computer system/server 12 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 12, and it includes both volatileand non-volatile media, removable and non-removable media.

System memory 28 can include computer system readable media in the formof volatile memory, such as random access memory (RAM) 30 and/or cachememory 32. Computer system/server 12 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, storage system 34 can be provided forreading from and writing to a nonremovable, non-volatile magnetic media(not shown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to bus 18 by one or more datamedia interfaces. As will be further depicted and described below,memory 28 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of embodiments of the invention.

Program/utility 40, having a set (at least one) of program modules 42,may be stored in memory 28 by way of example, and not limitation, aswell as an operating system, one or more application programs, otherprogram modules, and program data. Each of the operating system, one ormore application programs, other program modules, and program data orsome combination thereof, may include an implementation of a networkingenvironment. Program modules 42 generally carry out the functions and/ormethodologies of embodiments of the invention as described herein.

Computer system/server 12 may also communicate with one or more externaldevices 14 such as a keyboard, a pointing device, a display 24, etc.;one or more devices that enable a user to interact with computersystem/server 12; and/or any devices (e.g., network card, modem, etc.)that enable computer system/server 12 to communicate with one or moreother computing devices. Such communication can occur via Input/Output(I/0) interfaces 22. Still yet, computer system/server 12 cancommunicate with one or more networks such as a local area network(LAN), a general wide area network (WAN), and/or a public network (e.g.,the Internet) via network adapter 20. As depicted, network adapter 20communicates with the other components of computer system/server 12 viabus 18. It should be understood that although not shown, other hardwareand/or software components could be used in conjunction with computersystem/server 12. Examples, include, but are not limited to: microcode,device drivers, redundant processing units, external disk drive arrays,RAID systems, tape drives, and data archival storage systems, etc.

Referring now to FIG. 2, illustrative cloud computing environment 50 isdepicted. As shown, cloud computing environment 50 comprises one or morecloud computing nodes 10 with which local computing devices used bycloud consumers, such as, for example, personal digital assistant (PDA)or cellular telephone 54A, desktop computer 54B, laptop computer 54C,and/or automobile computer system 54N may communicate. Nodes 10 maycommunicate with one another. They may be grouped (not shown) physicallyor virtually, in one or more networks, such as Private, Community,Public, or Hybrid clouds as described hereinabove, or a combinationthereof. This allows cloud computing environment 50 to offerinfrastructure, platforms and/or software as services for which a cloudconsumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 54A-N shownin FIG. 2 are intended to be illustrative only and that computing nodes10 and cloud computing environment 50 can communicate with any type ofcomputerized device over any type of network and/or network addressableconnection (e.g., using a web browser).

Referring now to FIG. 3, a set of functional abstraction layers providedby cloud computing environment 50 (FIG. 2) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 3 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 60 includes hardware and softwarecomponents. Examples of hardware components include: mainframes 61; RISC(Reduced Instruction Set Computer) architecture based servers 62;servers 63; blade servers 64; storage devices 65; and networks andnetworking components 66. In some embodiments, software componentsinclude network application server software 67 and database software 68.

Virtualization layer 70 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers71; virtual storage 72; virtual networks 73, including virtual privatenetworks; virtual applications and operating systems 74; and virtualclients 75.

In one example, management layer 80 may provide the functions describedbelow. Resource provisioning 81 provides dynamic procurement ofcomputing resources and other resources that are utilized to performtasks within the cloud computing environment. Metering and Pricing 82provide cost tracking as resources are utilized within the cloudcomputing environment, and billing or invoicing for consumption of theseresources. In one example, these resources may comprise applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal 83 provides access to the cloud computing environment forconsumers and system administrators. Service level management 84provides cloud computing resource allocation and management such thatrequired service levels are met. Service Level Agreement (SLA) planningand fulfillment 85 provide pre-arrangement for, and procurement of,cloud computing resources for which a future requirement is anticipatedin accordance with an SLA.

Workloads layer 90 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation 91; software development and lifecycle management 92; virtualclassroom education delivery 93; data analytics processing 94;transaction processing 95; and display rendering 96.

In accordance with aspects of the invention, the display rendering 96includes: detecting a user that is interacting with a computer device;obtaining information about a vision condition of the detected user; andrendering the display of the computer device based on the informationabout the vision condition of the user. In additional aspects, thedisplay rendering 96 includes: learning optimized display settings forthe user by analyzing feedback from the user and re-rendering thedisplay based on the feedback; storing optimized display settings forplural different users at a central location; and accessing and applyinga stored optimized display setting at a computer device when one of theplural different users is detected at the computer device.

FIG. 4 shows a block diagram of an exemplary server-based environment100 in accordance with aspects of the invention. FIG. 5 shows a blockdiagram of an alternative embodiment comprising a single computingdevice.

Referring now to FIG. 4, the server-based environment 100 includes aserver 105 connected to plural computer devices 110 a-n by a network115, where “n” represents any suitable number of computer devices. Theserver 105 may comprise one or more instantiations of a computersystem/server 12 as described with respect to FIG. 1. In embodiments,the server 105 comprises a settings module 155, which may be one or moreprogram modules 42 described with respect to FIG. 1, and which isconfigured to determine display settings for a user as described herein.

The network 115 may comprise any suitable communication networkincluding but not limited to a local area network (LAN), wide areanetwork (WAN), and the Internet. In an embodiment, the network 115comprises, or is part of, a cloud computing environment such as cloudcomputing environment 50 of FIG. 2. In this embodiment, each of theserver 105 and the computer devices 110 a-n comprises a respective cloudcomputing node such as cloud computing nodes 10 of FIG. 2. The inventionis not limited to a cloud-based implementation, however, and otherarchitectures may be employed.

According to aspects of the invention, each computer device 110 a-ncomprises a user computer device such as a desktop computer, laptopcomputer, tablet computer, smartphone, etc., and may comprise one ormore components of the computer system/server 12 of FIG. 1. Inembodiments, each computer device 110 a-n includes a display 120comprising a visual output device having at least one configurablesetting such as, but not limited to, resolution, color, contrast,brightness, gamma, etc. The respective display 120 for each computerdevice 110 a-n may comprise, for example, a liquid crystal display(LCD), an organic light-emitting diode (OLED) display, or alater-developed display technology.

In embodiments, each computer device 110 a-n includes a user detectionmodule 125 and a rendering module 130. Each of the modules 125, 130 maycomprise one or more program modules 42 as described with respect toFIG. 1, and are configured to perform one or more of the functionsdescribed herein. Aspects of the invention are not limited to the exactnumber of modules shown in FIG. 4, and fewer modules may be used bycombining the functionality of one or more modules into another module.Conversely, more modules may be employed by splitting the functionalityof one or more of the modules shown into plural different modules.

According to aspects of the invention, the user detection module 125 ofa respective one of the computer devices 110 a-n is configured to detecta user (e.g., one of users 135 a-m) that is interacting with therespective one of the computer devices 110 a-n. In embodiments, the userdetection module 125 detects the user by employing at least one ofsensor-based detection and physical recognition. In a sensor-baseddetection embodiment, the user detection module 125 is configured todetect the user by detecting a device 140 a-m that is physically carriedby (on the person of) the user. Examples of such devices 140 a-minclude, but are not limited to, IoT devices, smartphones, and wearablebiometric devices. For example, the device may include an IoT device 140b embedded in the user's eyeglasses. In another example, the device maycomprise the user's smartphone 140 a, smartwatch 140 m, fitness band,etc. The user detection module 125 may be configured to detect thedevice 140 a-m utilizing hardware of the computer device 110 a-n and oneor more conventional protocols such as RFID, Bluetooth, WLAN, NFC, etc.

In accordance with aspects of the invention, the user detection module125 is configured to receive data from the device 140 a-m based ondetecting the device 140 a-m. In embodiments, the device 140 a-m isprogrammed with a user identifier associated with the user. The useridentifier may comprise, for example, a unique name, number or otherdata structure that is unique to user. In additional embodiments, thedevice 140 a-m is programmed with data defining a vision condition ofthe user (e.g., protanopia, deuteranopia, tritanopia, maculardegeneration, etc.). The data defining the user identifier and the datadefining a vision condition of the user may be anonymized (e.g., hashed,encrypted, etc.) to protect the privacy of the user. The user detectionmodule 125 may be configured to receive, from the device 140 a-m, theuser identifier and the data defining a vision condition of the userutilizing hardware of the computer device 110 a-n and one or moreconventional protocols such as RFID, Bluetooth, WLAN, NFC, etc. Inembodiments, the user detection module 125 transmits the data definingthe user identifier and the data defining a vision condition of the userto the server 105.

With continued reference to FIG. 4, in accordance with aspects of theinvention, the rendering module 130 is configured to render the display120 of the respective computer device 110 a-n based on data associatedwith the detected user. As used herein, rendering the display 120 refersto selectively adjusting one or more settings of the display 120,including but not limited to resolution, color, contrast, brightness,gamma settings of the display 120. In some situations, the renderingmodule 130 obtains previously determined settings for the detected userbased on the identity of the detected user, and renders the display 120using the previously determined settings. In other situations, therendering module 130 obtains settings for the detected user based on thedata defining a vision condition of the user, and renders the display120 using the determined settings.

For example, the server 105 may store data in a database 150 defining arespective user identifier for each user that has been detected by anyone of the computer devices 110 a-n in the past (referred to herein asprevious users). When the user detection module 125 of a particularcomputer device 110 a-n detects a current user, the user detectionmodule 125 communicates with the server 105 to determine whether thecurrent user is a previous user, e.g., by sending the user identifier ofthe current user to the server for comparing to the list of useridentifiers of previous users.

In the event that the server 105 determines the current user is aprevious user (i.e., there is a match), the server 105 obtains datadefining previously determined settings for this user (e.g., from thedatabase 150), and transmits the data defining the previously determinedsettings to the rendering module 130 of the particular computer device110 a-n that has detected the user. Upon receipt of the previouslydetermined settings for this user, the rendering module 130 renders thedisplay 120 of the particular computer device 110 a-n using thepreviously determined settings. This may comprise, for example,adjusting any one or more of the resolution, color, contrast,brightness, gamma settings of the display 120.

In the event that the server 105 determines that the current user is nota previous user (e.g., there is not a match), then the server 105determines settings for the current user based on the data defining avision condition of the current user. In embodiments, the server 105comprises the settings module 155 that determines display settings forthe current user. The determination may be based on comparing the user'svision condition to predefined a list of settings configurationsassociated with the vision condition.

For example, the database 150 may store predefined lists of differentsettings configurations associated with different vision conditions. Forexample, the database 150 may store a ranked list of plural differentsettings configurations associated with protanopia. Each respective oneof the settings configurations for protanopia may define a differentcombination of at least one of a resolution, color, contrast,brightness, and gamma settings. The list may be ranked in order ofestimated (or objectively determined) helpfulness for users withprotanopia. Similarly, the database 150 may store a different rankedlist of plural different settings configurations associated withdeuteranopia, a different ranked list of plural different settingsconfigurations associated with tritanopia, and a different ranked listof plural different settings configurations associated with maculardegeneration. The database 150 may similarly store one or moreadditional ranked lists for other vision conditions not mentionedherein.

In this manner, upon determining that the current user is not a previoususer (e.g., there is not a match of user identifiers), the server 105may access the list of settings configurations associated with theparticular vision condition of the user, determine settings for thisuser by selecting one of the settings configurations from the list, andtransmit data defining the determined settings to the rendering module130 of the user computer device 110 a-n. Upon receipt of the determinedsettings for this user, the rendering module 130 renders the display 120of the particular computer device 110 a-n using the determined settings.This may comprise, for example, adjusting any one or more of theresolution, color, contrast, brightness, gamma settings of the display120.

According to aspects of the invention, the server 105 stores user dataassociated with plural different users 135 a-m. In this manner, anysingle user (e.g., user 135 b) may sit at any single one of the computerdevices (e.g., 135 a), and the system will determine and apply displaysettings for this particular user in the manner described herein.

Still referring to FIG. 4, the rendering module 130 of each computerdevice 110 a-n may be further configured to obtain feedback from theuser, and to re-render the display 120 based on the feedback. In thismanner, the rendering module can learn optimized settings for aparticular user based on the feedback obtained from the user. Thefeedback may be obtained in a structured manner, e.g., via predefinedquestions that prompt the user feedback. Additionally or alternatively,the feedback may be obtained in an unstructured manner, e.g., viacognitive analysis of unprompted user actions associated with thedisplay.

To obtain feedback in a structured manner, the rendering module 130 maybe configured to alert the user that the display 120 has beendynamically rendered for this user. For example, based on rendering thedisplay 120 using the settings received from the settings module 155,the rendering module 130 may cause the display 120 to display a message:“This display has been dynamically rendered for you.” This message ismerely an example, and any type of visual and/or audible message may beused to alert the user that the display has been dynamically rendered.

In addition to alerting the user, the rendering module 130 may beconfigured to prompt the user for feedback regarding the rendering ofthe display. For example, the rendering module 130 may cause the display120 to display a message asking the user to provide a first type ofinput if the user is satisfied with the current rendering of thedisplay, or to provide a second type of input if the user isdissatisfied with the current rendering of the display. Any types ofuser inputs may be utilized as the first type and second type of input,including but not limited to: mouse click, keyboard input, touchscreengesture (e.g., tap, double tap, swipe, etc.), verbal input (detected bya microphone of the computer device), and physical gesture (detected bya camera of the computer device).

In response to receiving the first type of input (i.e., the user issatisfied with the current rendering of the display), the renderingmodule 130 transmits a message to the settings module 155, and thesettings module 155 saves the current settings as the optimized settingsfor this particular user. In this situation, the rendering module 130maintains the rendering of the display 120 with the settings with whichthe user indicated satisfaction.

In response to receiving the second type of input (i.e., the user isdissatisfied with the current rendering of the display), the renderingmodule 130 transmits a message to the settings module 155, and thesettings module 155 determines new settings for this user based on theuser's vision condition and the feedback. In one example, the settingsmodule 155 accesses the ranked list of plural different settingsconfigurations associated with user's vision condition, and selects thenext highest settings configuration from the list. In another example,the settings module 155 may be programmed with an algorithm fordetermining new settings based on an analysis of previously triedsettings configurations for this user. In either situation, the settingsmodule 155 returns the new settings to the rendering module 130, whichthen renders the display 120 of the particular computer device 110 a-nusing the new settings. The system can go through plural iterations inthis manner (e.g., the system rendering the display with certainsettings, the user providing negative feedback, and the systemre-rendering the display with new settings based on the feedback), untilsuch time as the user provides positive feedback for a particularrendering of the display 120 (e.g., until the user provides the firsttype of input indicating they are satisfied with the current renderingof the display). In this manner, the system can learn optimized settingsfor a particular user based on structured feedback from the user. Thesystem may perform this optimization separately for each of the pluralusers 135 a-m, such that each user has optimized settings that arepersonalized to them.

In the unstructured technique for obtaining user feedback, the systemmay be configured to: detect unprompted user actions associated with thedisplay 120, determine new settings based on analyzing the unprompteduser actions, and re-render the display 120 using the determined newsettings. For example, after rendering the display 120 using determinedsettings, the rendering module 130 may be configured to detect that theuser is performing one or more of the following actions: squinting(e.g., detected by a camera of the computer device), and manuallyadjusting one of the display settings (e.g., by physical button or dial,or by user interface). In response to detecting this type of user input,the rendering module 130 transmits a message to the settings module 155,and the settings module 155 determines new settings for this user basedon the user's vision condition and the input. In one example, thesettings module 155 accesses the ranked list of plural differentsettings configurations associated with user's vision condition, andselects the next highest settings configuration from the list. Inanother example, the settings module 155 may be programmed with analgorithm for determining new settings based on an analysis ofpreviously tried settings configurations for this user. In eithersituation, the settings module 155 returns the new settings to therendering module 130, which then renders the display 120 of theparticular computer device 110 a-n using the new settings.

FIG. 4 has thus far been described with respect to detecting a user(e.g., one of users 135 a-m) based on detecting a device (e.g., one ofdevices 140 a-m). Additionally or alternatively to detecting a user viaa device 140 a-m, the user detection module 125 may be configured todetect a user (e.g., a person using the computer device 110 a-n) byemploying at least one computer-based physical recognition techniquesuch as facial recognition (e.g., via image processing), finger printdetection (e.g., via image processing, capacitive systems, etc.), retinaand/or iris scanning (e.g., via image processing), and voice recognition(e.g., via audio processing). Each computer device 110 a-n may beequipped with appropriate hardware 145 for obtaining data for performingsuch physical recognition techniques, including but not limited to acamera, a microphone, and a capacitive fingerprint sensor. Inembodiments, the user detection module 125 transmits the data from thephysical recognition technique to the server 105, which is configured todetermining an identity of the user based on the data from the physicalrecognition technique. After the server 105 determines the identity ofthe user in this manner, the process of determining settings andrendering the display 120 based on the determined settings may proceedin the manner already described herein.

Aspects of the invention have been described thus far with respect tothe server-based implementation shown in FIG. 4, in which pluraldifferent computer devices 110 a-n communicate with a server 105 thatdetermines the settings for the user. In another embodiment, the usercomputer device may determine the settings for the user. For example, asshown in FIG. 5, a user computer device 110 a′ may include the display120, detection module 125, and rendering module 130 as previouslydescribed. As further depicted in FIG. 5, the user computer device 110a′ may include a settings module 155′ and database 150′ that performfunctions similar to the settings module 155 and database 150 describedwith respect to FIG. 4. For example, the database 150′ may store useridentifiers, predefined lists of different settings configurationsassociated with different vision conditions, and previously determinedsettings for previous users. The settings module 155′ may be configuredto determine settings for a user based on the user identifier and theuser's vision condition (and optionally based on user feedback) in amanner similar to that described with respect to the settings module155. In this manner, the user computer device 110 a′ is a stand-alonedevice that can detect a user, determine display settings based on avision condition of the user, and render the display 120 using thedetermined settings. The database 150′ may store data for pluraldifferent users, such that the user computer device 110 a′ may renderthe display differently for different users based on the respectivevision conditions of the different users.

In an additional optional aspect of the invention, the rendering module130 may be configured to determine whether the operating system of thecomputer device 110 a-n is running other software that is configured toaddress vision conditions. In some implementations, the rendering module130 may be configured to override the other software when rendering thedisplay 120 using the determined settings (received from the settingsmodule 155 or 155′). In other embodiments, the rendering module 130 maybe configured to communicate with the other software to render thedisplay 120 using a combination of the determined settings (receivedfrom the settings module 155 or 155′) and one or more settings definedby the other software.

FIG. 6 shows an example flowchart of a method in accordance with aspectsof the invention. The steps of FIG. 6 may be implemented in theenvironment of FIG. 4, for example, and are described using referencenumbers of elements depicted in FIG. 4. As noted above, the flowchartillustrates the architecture, functionality, and operation of possibleimplementations of systems, methods, and computer program productsaccording to various embodiments of the present invention.

At step 601, a system detects a user at a computer device. Inembodiments, as described with respect to FIG. 4, a detection module(e.g., detection module 125) of a computer device (e.g., one of 110 a-n)detects a user (e.g., one of 135 a-m) by detecting a device (e.g., oneof 140 a-m) or via a computer-based physical recognition technique. Step601 may include the computer device obtaining data from the detecteddevice, the data including a user identifier and data defining a visioncondition of the user.

At step 602, the computer device transmits the data obtained at step 601to a server (e.g., server 105). In response to receiving the data, theserver determines whether the detected user is a previous user. Forexample, as described with respect to FIG. 4, the server may compare theuser identifier received from the computer device to a list of useridentifiers stored, e.g., in a database.

In the event that the detected user is not a previous user, then at step603 the server determines settings for the user. In embodiments, asdescribed with respect to FIG. 4, a settings module (e.g., settingsmodule 155) of the server determines settings for the user based on thedata that defines the vision condition of the user.

In the event that the detected user is a previous user, then at step 604the server retrieves saved settings associated with this user. Forexample, as described with respect to FIG. 4, the server may storesettings associated with previous users in the database.

At step 605, following either step 603 or step 604, the server sends thedetermined settings to the computer device. At step 606, the computerdevice renders the display using the settings received from the server.In embodiments, as described with respect to FIG. 4, a rendering module(e.g., rendering module 130) of the computer device dynamically adjustsat least one parameter of the display (e.g., display 120) of thecomputer device based on the settings received from the server.

At step 607, the computer device obtains feedback from the user. Inembodiments, as described with respect to FIG. 4, the rendering modulemay obtain structured and/or unstructured feedback from the user inresponse to the rendering of step 606. In embodiments, the renderingmodule determines, based on the feedback, whether the user is satisfiedwith the rendering of step 606.

In response to determining that the user is satisfied with the renderingof step 606, then at step 608 the rendering module maintains therendering of step 606 and sends a message to the server to save thesettings (sent at step 605 and applied at step 606) as the optimizedsettings for this user.

In response to determining that the user is dissatisfied with therendering of step 606, then at step 609 the rendering module sends thefeedback to the server. At step 610, the server determines new settingsfor this user based on the vision condition of the user and thefeedback. After determining the new settings at step 610, the processloops back to step 605 where the server sends the newly determinedsettings to the computer device.

FIG. 7 shows an example flowchart of a method in accordance with aspectsof the invention. The steps of FIG. 7 may be implemented in theenvironment of FIG. 5, for example, and are described using referencenumbers of elements depicted in FIG. 5.

At step 701, a system detects a user at a computer device. Inembodiments, as described with respect to FIG. 5, a detection module(e.g., detection module 125) of a computer device (e.g., computer device110 a′) detects a user (e.g., one of 135 a-m) by detecting a device(e.g., one of 140 a-m) or via a computer-based physical recognitiontechnique. Step 701 may include the computer device obtaining data fromthe detected device, the data including a user identifier and datadefining a vision condition of the user. In response to obtaining thedata, the computer device 110 a′ determines whether the detected user isa previous user. For example, as described with respect to FIG. 4, thecomputer device 110 a′ may compare the user identifier received from thecomputer device to a list of user identifiers stored, e.g., in adatabase.

In the event that the detected user is not a previous user, then at step703 the computer device 110 a′ determines settings for the user. Inembodiments, as described with respect to FIG. 5, a settings module(e.g., settings module 155′) of the computer device 110 a′ determinessettings for the user based on the data that defines the visioncondition of the user.

In the event that the detected user is a previous user, then at step 704the computer device 110 a′ retrieves saved settings associated with thisuser. For example, as described with respect to FIG. 5, the computerdevice 110 a′ may store settings associated with previous users in thedatabase.

At step 706, the computer device 110 a′ renders the display using thesettings from step 703 or 704. In embodiments, as described with respectto FIG. 4, a rendering module (e.g., rendering module 130) of thecomputer device 110 a′ dynamically adjusts at least one parameter of thedisplay (e.g., display 120) of the computer device 110 a′ based on thesettings.

At step 707, the computer device 110 a′ obtains feedback from the user.In embodiments, as described with respect to FIG. 4, the renderingmodule may obtain structured and/or unstructured feedback from the userin response to the rendering of step 706. In embodiments, the renderingmodule determines, based on the feedback, whether the user is satisfiedwith the rendering of step 706.

In response to determining that the user is satisfied with the renderingof step 706, then at step 708 the rendering module maintains therendering of step 706 and saves the settings (applied at step 706) asthe optimized settings for this user.

In response to determining that the user is dissatisfied with therendering of step 706, then at step 710, the computer device 110 a′determines new settings for this user based on the vision condition ofthe user and the feedback. After determining the new settings at step710, the process loops back to step 706 where the computer device 110 a′renders the display using the new settings.

To the extent the aforementioned implementations collect, store, oremploy personal information provided by individuals, it should beunderstood that such information shall be used in accordance with allapplicable laws concerning protection of personal information.Additionally, the collection, storage, and use of such information maybe subject to consent of the individual to such activity, for example,through “opt-in” or “opt-out” processes as may be appropriate for thesituation and type of information. Storage and use of personalinformation may be in an appropriately secure manner reflective of thetype of information, for example, through various encryption andanonymization techniques for particularly sensitive information.

In embodiments, a service provider could offer to perform the processesdescribed herein. In this case, the service provider can create,maintain, deploy, support, etc., the computer infrastructure thatperforms the process steps of the invention for one or more customers.These customers may be, for example, any business that uses technology.In return, the service provider can receive payment from the customer(s)under a subscription and/or fee agreement and/or the service providercan receive payment from the sale of advertising content to one or morethird parties.

In still additional embodiments, the invention provides acomputer-implemented method, via a network. In this case, a computerinfrastructure, such as computer system/server 12 (FIG. 1), can beprovided and one or more systems for performing the processes of theinvention can be obtained (e.g., created, purchased, used, modified,etc.) and deployed to the computer infrastructure. To this extent, thedeployment of a system can comprise one or more of: (1) installingprogram code on a computing device, such as computer system/server 12(as shown in FIG. 1), from a computer-readable medium; (2) adding one ormore computing devices to the computer infrastructure; and (3)incorporating and/or modifying one or more existing systems of thecomputer infrastructure to enable the computer infrastructure to performthe processes of the invention.

The descriptions of the various embodiments of the present inventionhave been presented for purposes of illustration, but are not intendedto be exhaustive or limited to the embodiments disclosed. Manymodifications and variations will be apparent to those of ordinary skillin the art without departing from the scope and spirit of the describedembodiments. The terminology used herein was chosen to best explain theprinciples of the embodiments, the practical application or technicalimprovement over technologies found in the marketplace, or to enableothers of ordinary skill in the art to understand the embodimentsdisclosed herein.

What is claimed is:
 1. A computer device comprising: a display, aprocessor, a computer readable memory, a computer readable storagemedium, and program instructions stored on the computer readable storagemedium for execution by the processor that cause the computer device to:detect a user at the computer device; send data associated with the userto a server; receive settings from the server; render the display basedon the received settings; detect unprompted user actions associated withthe display; communicate with the server to determine new settings basedon analyzing the unprompted user actions; and re-render the displayusing the new settings.
 2. The computer device of claim 1, wherein: thedisplay is a visual output device; and the rendering comprises adjustingresolution, color, contrast and brightness settings of the display. 3.The computer device of claim 1, wherein the data associated with theuser comprises data defining a vision condition of the user.
 4. Thecomputer device of claim 3, wherein the vision condition comprises oneselected from the group consisting of: protanopia, deuteranopia,tritanopia, and macular degeneration.
 5. The computer device of claim 1,wherein the detecting the user comprises detecting a device carried orworn by the user.
 6. The computer device of claim 5, wherein thecomputer device is configured to obtain the data associated with theuser from the device carried or worn by the user.
 7. The computer deviceof claim 6, wherein the device carried or worn by the user comprises oneor more selected from the group consisting of: an IoT device, asmartphone, and a wearable biometric device.
 8. The computer device ofclaim 1, wherein the detecting the user comprises a computer-basedphysical recognition technique.
 9. The computer device of claim 8,wherein the computer-based physical recognition technique comprises atleast one from the group consisting of: facial recognition, finger printdetection, retina and/or iris scanning, and voice recognition.
 10. Acomputer program product comprising a computer readable storage mediumhaving program instructions embodied therewith, the program instructionsexecutable by a computer device to cause the computer device to: detecta user at the computer device; send data associated with the user to aserver; receive settings from the server; render the display based onthe received settings; obtain feedback from the user; and re-render thedisplay based on the feedback.
 11. The computer program product of claim10, wherein the feedback comprises structured feedback.
 12. The computerprogram product of claim 10, wherein the feedback is obtained viacognitive analysis of unprompted user actions associated with thedisplay.
 13. A computer-implemented method comprising: detecting a userat a computer device comprising a display; determining, by the computerdevice, settings based on a vision condition of the user and in responseto the detecting the user at the computer device; rendering the displayusing the settings and in response to the detecting the user at thecomputer device; detect unprompted user actions associated with thedisplay; determine new settings based on the analyzing the unprompteduser actions; and re-render the display using the new settings.
 14. Thecomputer-implemented method of claim 13, wherein: the display is avisual output device; and the rendering comprises adjusting one or moreselected from the group consisting of: resolution, color, contrast andbrightness; and the vision condition comprises one selected from thegroup consisting of: protanopia, deuteranopia, tritanopia, and maculardegeneration.
 15. The computer-implemented method of claim 13, whereinthe detecting the user comprises detecting a device carried or worn bythe user, the device comprising one or more selected from the groupconsisting of: an IoT device, a smartphone, and a wearable biometricdevice.
 16. The computer-implemented method of claim 15, furthercomprising obtain data associated with the user from the device carriedor worn by the user, the data including at least one selected from thegroup consisting of: a user identifier, and data defining the visioncondition.